Triple
T10231957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubbard Orangutan Forest |
E243362
|
entity |
| Predicate | primarySpeciesExhibited |
P22362
|
FINISHED |
| Object | orangutan |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: orangutan | Statement: [Hubbard Orangutan Forest, primarySpeciesExhibited, orangutan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySpeciesExhibited Context triple: [Hubbard Orangutan Forest, primarySpeciesExhibited, orangutan]
-
A.
hasExhibitSpecies
chosen
Indicates that an exhibit or display includes or features a particular species.
-
B.
animalExhibits
Indicates that an animal displays, shows, or demonstrates a particular behavior, trait, or characteristic.
-
C.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
D.
zooSpecialization
Indicates that one entity is a zoo whose primary focus or expertise is specialized in the type, category, or group represented by the other entity.
-
E.
mainPreySpecies
Indicates the species that serves as the primary prey or main food source for a given predator.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:20 a.m.